Tracking the early depleting transmission dynamics of COVID-19 with a time-varying SIR model.

Autor: Law KB; Institute for Clinical Research, Ministry of Health Malaysia, Setia Alam, Malaysia. kblaw@crc.gov.my., Peariasamy KM; Institute for Clinical Research, Ministry of Health Malaysia, Setia Alam, Malaysia., Gill BS; Institute for Medical Research, Ministry of Health Malaysia, Kuala Lumpur, Malaysia., Singh S; Institute for Medical Research, Ministry of Health Malaysia, Kuala Lumpur, Malaysia., Sundram BM; Institute for Medical Research, Ministry of Health Malaysia, Kuala Lumpur, Malaysia., Rajendran K; Institute for Medical Research, Ministry of Health Malaysia, Kuala Lumpur, Malaysia., Dass SC; Heriot-Watt University Malaysia, Putrajaya, Malaysia., Lee YL; Institute for Clinical Research, Ministry of Health Malaysia, Setia Alam, Malaysia., Goh PP; Institute for Clinical Research, Ministry of Health Malaysia, Setia Alam, Malaysia., Ibrahim H; Ministry of Health Malaysia, Putrajaya, Malaysia., Abdullah NH; Ministry of Health Malaysia, Putrajaya, Malaysia.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2020 Dec 10; Vol. 10 (1), pp. 21721. Date of Electronic Publication: 2020 Dec 10.
DOI: 10.1038/s41598-020-78739-8
Abstrakt: The susceptible-infectious-removed (SIR) model offers the simplest framework to study transmission dynamics of COVID-19, however, it does not factor in its early depleting trend observed during a lockdown. We modified the SIR model to specifically simulate the early depleting transmission dynamics of COVID-19 to better predict its temporal trend in Malaysia. The classical SIR model was fitted to observed total (I total), active (I) and removed (R) cases of COVID-19 before lockdown to estimate the basic reproduction number. Next, the model was modified with a partial time-varying force of infection, given by a proportionally depleting transmission coefficient, [Formula: see text] and a fractional term, z. The modified SIR model was then fitted to observed data over 6 weeks during the lockdown. Model fitting and projection were validated using the mean absolute percent error (MAPE). The transmission dynamics of COVID-19 was interrupted immediately by the lockdown. The modified SIR model projected the depleting temporal trends with lowest MAPE for I total, followed by I, I daily and R. During lockdown, the dynamics of COVID-19 depleted at a rate of 4.7% each day with a decreased capacity of 40%. For 7-day and 14-day projections, the modified SIR model accurately predicted I total, I and R. The depleting transmission dynamics for COVID-19 during lockdown can be accurately captured by time-varying SIR model. Projection generated based on observed data is useful for future planning and control of COVID-19.
Databáze: MEDLINE
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